Adaptive Kalman snake for semi-autonomous 3D vessel tracking. Issue 1 (October 2015)

• Record Type: Journal Article
• Authors: Lee, Sang-Hoon; Lee, Sanghoon
• Is Part Of: Computer methods and programs in biomedicine. Volume 122:Issue 1(2015)
• Page Start: 56
• Page End: 75
• Publication Date: 2015-10
• Subjects: Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2015.06.008
• Languages: English
• ISSNs: 0169-2607

Abstract

<abstract abstract-type="author-highlights" id="abs0005"> <title> <x xml:space="preserve">Abstract</x> </title> <sec> <title id="sect0005">Highlights</title> <p id="spar0005"> <list id="list0005"> <list-item id="listitem0005"> <label></label> <p id="p0005">We propose 3D vessel segmentation and tracking algorithm based on an active contour model and a Kalman filter.</p> </list-item> <list-item id="listitem0010"> <label></label> <p id="p0010">To obtain refined segmentation results, we model an adaptive control spacing algorithm for the active contour model.</p> </list-item> <list-item id="listitem0015"> <label></label> <p id="p0015">To obtain refined tracking results, we model an initial contour estimation algorithm for the Kalman filter.</p> </list-item> <list-item id="listitem0020"> <label></label> <p id="p0020">ROC analyses demonstrated the time efficiency and tracking robustness of the proposed model.</p> </list-item> <list-item id="listitem0025"> <label></label> <p id="p0025">Processing time can be effectively reduced by approximately 20%.</p> </list-item> </list> </p> </sec> </abstract>